DocumentCode
526544
Title
Notice of Retraction
Particle swarm optimization algorithm improvement and application
Author
Xiao Li ; Bao Junjie ; Kuang Hang
Author_Institution
Dept. of Comput. Sci., Chongqing Educ. Coll., Chongqing, China
Volume
8
fYear
2010
fDate
9-11 July 2010
Firstpage
653
Lastpage
656
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, through the research of the existing particle swarm optimization algorithm and its improved algorithm, a particle swarm optimization algorithm improvement program is proposed, and the experimental results show that this improved algorithm not only does not increase the complexity, but also has greater improvement in the convergence speed and stability comparing with the original algorithm.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, through the research of the existing particle swarm optimization algorithm and its improved algorithm, a particle swarm optimization algorithm improvement program is proposed, and the experimental results show that this improved algorithm not only does not increase the complexity, but also has greater improvement in the convergence speed and stability comparing with the original algorithm.
Keywords
convergence; particle swarm optimisation; stability; convergence speed; particle swarm optimization algorithm; stability; Algorithm design and analysis; convergence speed; dynamic weight aggregation; particle swarm optimization algorithm; population diversity;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5564561
Filename
5564561
Link To Document